Making stillbirths count, making numbers talk - issues in data collection for stillbirths

Froen, J. Frederik, Gordijn, Sanne J., Abdel-Aleem, Hany, Bergsjo, Per, Betran, Ana, Duke, Charles W., Fauveau, Vincent, Flenady, Vicki, Hinderaker, Sven Gudmund, Hofmeyr, G. Justus, Jokhio, Abdul Hakeem, Lawn, Joy, Lumbiganon, Pisake, Merialdi, Mario, Pattinson, Robert and Shankar, Anuraj (2009) Making stillbirths count, making numbers talk - issues in data collection for stillbirths. BMC Pregnancy and Childbirth, 9 1-17. doi:10.1186/1471-2393-9-58


Author Froen, J. Frederik
Gordijn, Sanne J.
Abdel-Aleem, Hany
Bergsjo, Per
Betran, Ana
Duke, Charles W.
Fauveau, Vincent
Flenady, Vicki
Hinderaker, Sven Gudmund
Hofmeyr, G. Justus
Jokhio, Abdul Hakeem
Lawn, Joy
Lumbiganon, Pisake
Merialdi, Mario
Pattinson, Robert
Shankar, Anuraj
Title Making stillbirths count, making numbers talk - issues in data collection for stillbirths
Journal name BMC Pregnancy and Childbirth   Check publisher's open access policy
ISSN 1471-2393
Publication date 2009-12-17
Sub-type Article (original research)
DOI 10.1186/1471-2393-9-58
Open Access Status DOI
Volume 9
Start page 1
End page 17
Total pages 17
Place of publication London, United Kingdom
Publisher BioMed Central
Formatted abstract
Background: Stillbirths need to count. They constitute the majority of the world's perinatal deaths and yet, they are largely invisible. Simply counting stillbirths is only the first step in analysis and prevention. From a public health perspective, there is a need for information on timing and circumstances of death, associated conditions and underlying causes, and availability and quality of care. This information will guide efforts to prevent stillbirths and improve quality of care.
Discussion: In this report, we assess how different definitions and limits in registration affect data capture, and we discuss the specific challenges of stillbirth registration, with emphasis on implementation. We identify what data need to be captured, we suggest a dataset to cover core needs in registration and analysis of the different categories of stillbirths with causes and quality indicators, and we illustrate the experience in stillbirth registration from different cultural settings. Finally, we point out gaps that need attention in the International Classification of Diseases and review the qualities of alternative systems that have been tested in low- and middle-income settings.
Summary: Obtaining high-quality data will require consistent definitions for stillbirths, systematic population-based registration, better tools for surveys and verbal autopsies, capacity building and training in procedures to identify causes of death, locally adapted quality indicators, improved classification systems, and effective registration and reporting systems.
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ
Additional Notes Article # 58

Document type: Journal Article
Sub-type: Article (original research)
Collection: School of Medicine Publications
 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 36 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 43 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Created: Wed, 27 Nov 2013, 09:33:24 EST by System User on behalf of Obstetrics & Gynaecology - Mater Hospital